Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/10796
Title: Identifying potential barriers to total quality management using principal component analysis and correspondence analysis
Authors: Ngai, EWT 
Cheng, TCE 
Keywords: Assessment
Barriers
Statistics
TQM
Issue Date: 1997
Source: International journal of quality and reliability management, 1997, v. 14, no. 4, p. 391-408 How to cite?
Journal: International Journal of Quality and Reliability Management 
Abstract: Most quality management researchers make inadequate use of statistical techniques, especially multivariate statistical methods. Applies two multivariate analysis techniques, principal component analysis (PCA) and correspondence analysis (CA), to analyse potential barriers to total quality management (TQM) implementation in Hong Kong's service and manufacturing industries. Describes and demonstrates the applicability of these techniques as analysis tools for quality researchers and practitioners. Conducts PCA on a set of survey data and produces four orthogonal dimensions to potential barriers to TQM implementation, then applies CA in order to corroborate the findings of PCA. In addition, CA provides a simultaneous graphical representation of the data organized under different categories which shows how the potential barriers relate to one another and to the different types of industry.
URI: http://hdl.handle.net/10397/10796
ISSN: 0265-671X
DOI: 10.1108/02656719710170657
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